Programming Collective Intelligence: Building Smart Web 2.0 Applications
Author: Toby Segaran
Manufacturer: O'Reilly Media, Inc.
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Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems)
Author: Ian H. Witten
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Pattern Recognition and Machine Learning (Information Science and Statistics)
Author: Christopher M. Bishop
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Pattern Classification (2nd Edition)
Author: Richard O. Duda
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Data Analysis Using Regression and Multilevel/Hierarchical Models
Author: Andrew Gelman
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Introduction to Data Mining
Author: Pang-Ning Tan
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The Elements of Statistical Learning
Author: T. Hastie
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Bayesian Data Analysis, Second Edition (Texts in Statistical Science)
Author: Andrew Gelman
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Interactive and Dynamic Graphics for Data Analysis: With R and GGobi (Use R)
Author: Dianne Cook
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Understanding Complex Datasets: Data Mining with Matrix Decompositions (Chapman & Hall/Crc Data Mining and Knowledge Discovery Series)
Author: David Skillicorn
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An Introduction to Support Vector Machines and Other Kernel-based Learning Methods
Author: Nello Cristianini
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Semi-Supervised Learning (Adaptive Computation and Machine Learning)
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Matrix Methods in Data Mining and Pattern Recognition (Fundamentals of Algorithms)
Author: Lars Eldén
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Prediction, Learning, and Games
Author: Nicolo Cesa-Bianchi
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Nonlinear Dimensionality Reduction (Information Science and Statistics)
Author: John A. Lee
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Introduction to Clustering Large and High-Dimensional Data
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Information Criteria and Statistical Modeling (Springer Series in Statistics)
Author: Sadanori Konishi
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Cluster Analysis for Researchers
Author: Charles Romesburg
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Making Sense of Data: A Practical Guide to Exploratory Data Analysis and Data Mining
Author: Glenn J. Myatt
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Statistical Learning Theory
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Computational Methods of Feature Selection (Chapman & Hall/Crc Data Mining and Knowledge Discovery Series)
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Data Mining and Knowledge Discovery Handbook
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Clustering for Data Mining: A Data Recovery Approach (Computer Science and Data Analysis)
Author: Boris Mirkin
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Finding Groups in Data: An Introduction to Cluster Analysis (Wiley Series in Probability and Statistics)
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Cluster and Classification Techniques for the Biosciences
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Support Vector Machines for Pattern Classification (Advances in Pattern Recognition)
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Finding Groups in Data: An Introduction to Cluster Analysis
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Data Mining: A Knowledge Discovery Approach
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Kernel Based Algorithms for Mining Huge Data Sets: Supervised, Semi-supervised, and Unsupervised Learning (Studies in Computational Intelligence)
Author: Te-Ming Huang
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